An LC-MS method based on iTRAQ labeling and high resolution FT-OrbiTrap mass spectrometry was used for the proteomic analysis of 23 human ThinPrep cervical smear specimens. The analysis of three 8-plex sample sets yielded the identification of over 3200 unique proteins at FDR < 1%, of which over 2300 proteins were quantitatively profiled in at least one of the three experiments.

3.1E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.57E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.47E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.29E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.21E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.03E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

9.31E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

8.47E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

7.7E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

5.84E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

5.82E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

5.36E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

4.26E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

4.01E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.97E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.95E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.95E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.8E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.47E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.45E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.26E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.25E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.08E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.03E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.99E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.99E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.9E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.76E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.65E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.51E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.42E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.37E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.28E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.27E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.26E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.17E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.08E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.06E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.89E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.86E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.73E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.66E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.63E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.61E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.57E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.47E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.35E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.11E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

9.04E0Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

8.77E0Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.